As deepfake-driven fraud escalates across Africa, detection technology providers are expanding into South Africa to combat synthetic identity scams targeting financial institutions and consumers.
Baltimore teenagers have filed a lawsuit against Elon Musk's xAI over its Grok AI image generator, raising critical questions about legal liability for synthetic media platforms and AI-generated content.
New research examines whether large language models can convincingly replicate human writing styles across literary and political texts, with implications for AI-generated content detection and digital authenticity.
New research uses explainable AI techniques to reveal why AI-generated text detectors fail in practice despite strong benchmark scores, exposing critical shortcomings in current detection approaches.
New research reveals frontier language models frequently skip or contradict their own chain-of-thought reasoning, raising serious questions about AI transparency and the reliability of systems that "show their work."
New research proposes MCLR, a training-time method that maximizes inter-class likelihood ratios to improve conditional visual generation, proving formal equivalence between classifier-free guidance and alignment objectives like DPO.
Pindrop CEO Vijay Balasubramaniyan leads the charge against deepfake voice attacks, leveraging audio authentication technology to protect enterprises from AI-generated voice fraud.
Research from the Radiological Society of North America reveals that AI-generated fake X-rays can deceive both trained radiologists and AI detection systems, raising urgent concerns about medical imaging integrity.
Fiverr is launching a dedicated AI video production hub, aiming to democratize filmmaking by connecting creators with AI-powered tools and talent that challenge traditional Hollywood production models.
A startup is betting that palm vein scanning can provide identity verification that AI-generated deepfakes cannot spoof, offering a biological layer of defense against synthetic media fraud.
OpenAI has identified its deep reliance on Microsoft as a key business risk in disclosures ahead of its expected IPO, raising questions about infrastructure independence and the future of AI development.
A comprehensive survey explores KV cache optimization strategies—from quantization to eviction policies—that make large language model inference faster, cheaper, and more scalable across generative AI applications.